Economic Development and Road Safety: Evidence from India
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Road traffic crash is a major public health problem in India. Economic development influence road safety but few studies have assessed both the short- and long-run relation between economic performance and road safety. This paper studied the linkage between economic development and road traffic accidents, fatalities and injuries in India. The annual data related to gross domestic product per capita (GDP) and unemployment rate – for the level of economic development, and number of road traffic accidents, fatalities, and injuries – indicators of road safety. was used for the span of 28 years (1995-2022). The ARDL approach to cointegration was applied to estimate the short- and long-run effects of economic development on road safety. Results of the study showed that in the long-run, both accidents and fatalities decrease while injuries increase with GDP. In the short-run, fatalities decrease with GDP but the negative impact of GDP on injuries. Government, policymakers, road safety agencies, motorists and motorcyclists should invest in road infrastructure, enforcement of traffic regulations and safety measures that will reduce injuries.
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Akinyemi, Y. (2020). Relationship between economic development and road traffic crashes and casualties: Empirical evidence from Nigeria. [Journal/Publisher details if available].
Banerjee, A., Dolado, J., Galbraith, J. W., & Hendry, D. F. (1993). Co-integration, error correction, and the econometric analysis of non-stationary data. Oxford University Press.
Bayraktar, Y., et al. (2024). The relationship between income level and road traffic deaths: An empirical analysis for 22 OECD countries. [Journal/Publisher details].
Bishai, D., Quresh, A., James, P., & Ghaffar, A. (2006). National road casualties and economic development. Health Economics, 15(1), 65–81.
Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B, 37(2), 149–192.
Chi, J., & Baek, J. (2013). The relationship between US economic growth and highway safety. Journal of Safety Research, 45, 17–25.
Elliot, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), 813–836.
Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Garg, N., & Hyder, A. A. (2006). Exploring the relationship between development and road traffic injuries: A case study from India. European Journal of Public Health, 16(5), 487–491.
Johansen, S. (1995). Likelihood-based inference in cointegrated vector autoregressive models. Oxford University Press.
Johansen, S., &Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210.
Kopits, E., & Cropper, M. (2005). Traffic fatalities and economic growth. Accident Analysis & Prevention, 37(1), 169–178.
Law, T. H., Noland, R. B., & Evans, A. W. (2011). The sources of the Kuznets relationship between road fatalities and economic growth. Journal of Transport Geography, 19(2), 355–365.
Laurenceson, J., & Chai, J. C. H. (2003). Financial reform and economic development in China. Edward Elgar Publishing.
Ministry of Road Transport and Highways (MoRTH). (2022). Road accidents in India 2021. Government of India.
Nantulya, V. M., & Reich, M. R. (2002). The neglected epidemic: Road traffic injuries in developing countries. BMJ, 324(7346), 1139–1141.
Pesaran, M. H., &Pesaran, B. (1997). Working with Microfit 4.0: Interactive econometric analysis. Oxford University Press.
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.
Sinha, A., et al. (2021). Linkage between road safety and economic development: A case study of India. [Journal/Publisher details].
Tandrayen-Ragoobur, V. (2024). Economic development and road traffic accidents in Mauritius: Evidence from a VECM approach, 1980–2020. [Journal/Publisher details].
Weibe, K., et al. (2016). The causal relationship between GDP and road traffic deaths in Botswana and Zambia. [Journal/Publisher details].
World Bank. (2025). World Development Indicators database. Washington, DC: World Bank.
World Health Organization (WHO). (2018). Global status report on road safety 2018. Geneva: WHO.
World Health Organization (WHO). (2023). Global status report on road safety 2023. Geneva: WHO.